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<rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise · HackerPapers discussions</title><link>https://hackerpaper.kaipfister.de/p/1807.08176/</link><description>Collected HN comments and submissions linking this paper.</description><language>en</language><lastBuildDate>Mon, 02 Nov 2026 11:16:22 GMT</lastBuildDate><atom:link href="https://hackerpaper.kaipfister.de/p/1807.08176/feed.xml" rel="self" type="application/rss+xml" /><item><title>A Convolutional Neural Networks Denoising Approach for Salt and Pepper Noise — mentioned by wizzerking</title><link>https://news.ycombinator.com/item?id=22101870</link><guid isPermaLink="false">urn:hackerpapers:mention:1807.08176:22101870</guid><pubDate>Mon, 20 Jan 2020 20:31:36 GMT</pubDate><description>&lt;p&gt;OpenCV has a bunch of image processing algorithms that I searched for, but don&amp;#x27;t see mentioned CLAHE Contrast Limited Histogram Equalization _ I have used to good effect to get better contrast Neural Network DeNoising https://papers.nips.cc/paper/4686-image-denoising-and-inpain... https://arxiv.org/pdf/1807.08176.pdf I&amp;#x27;m sure github has some repos on this&lt;/p&gt;&lt;p&gt;&lt;a href="https://hackerpaper.kaipfister.de/p/1807.08176/"&gt;Paper and discussion history&lt;/a&gt;. A mention is not an endorsement.&lt;/p&gt;</description><category>cs.MM</category></item></channel></rss>
